Pregled bibliografske jedinice broj: 910418
Face Template Matching for Ink-Jet Printed Biscuit Tiles
Face Template Matching for Ink-Jet Printed Biscuit Tiles // PROCEEDINGS OF International Conference on Smart Systems and Technologies 2017(SST 2017) / Žagar, Drago ; Martinović, Goran ; Rimac Drlje, Snježana ; Miličević, Kruno (ur.).
Osijek: Fakultet elektrotehnike, računarstva i informacijskih tehnologija Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2017. str. 239-244 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Face Template Matching for Ink-Jet Printed Biscuit Tiles
Autori
Matić, Tomislav ; Vidović, Ivan ; Hocenski, Željko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
PROCEEDINGS OF International Conference on Smart Systems and Technologies 2017(SST 2017)
/ Žagar, Drago ; Martinović, Goran ; Rimac Drlje, Snježana ; Miličević, Kruno - Osijek : Fakultet elektrotehnike, računarstva i informacijskih tehnologija Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2017, 239-244
ISBN
978-1-5386-3776-0
Skup
International Conference on Smart Systems and Technologies 2017(SST 2017)
Mjesto i datum
Osijek, Hrvatska, 18.10.2017. - 20.10.2017
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Ceramic tile ; template matching ; ink-jet printing ; SIFT
Sažetak
One of the recent advances in ceramic tile industrial production is the introduction of ink-jet printers. Ink-jet printers are used for face texture printing in the biscuit tile production stage. This enables production of various ceramic tiles. Different textures and images can be used as the face of the tile. Because of this advance in automatic tile production, it is possible to introduce new methods for biscuit tile face matching in order to improve visual inspection process. In this paper we propose a new approach for biscuit tile face matching. Testing of the proposed method is done on real biscuit tile images acquired on a industrial production line. Presented approach gives 100% classification accuracy for all 60 test images with 12 face images. Future work will include real-time implementation and testing on a production line.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek